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Investigation of cutting parameters effect for minimization of sur face roughness in internal turning

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Abstract

Minimizing the surface roughness is one of the primary objectives in most of the machining operations in general and in internal turning in particular. Poor control on the cutting parameters due to long boring bar generates non conforming parts which results in increase in cost and loss of productivity due to rework or scrap. In this study, the Taguchi method is used to minimize the surface roughness by investigating the rake angle effect on surface roughness in boring performed on a CNC lathe. The control parameters included besides tool rake angle were insert nose radius, cutting speed, depth of cut, and feedrate. Slight tool wear was included as a noise factor. Based on Taguchi Orthogonal Array L18, a series of experiments were designed and performed on AISI 1018 steel. Analysis of variance, ANOVA, was employed to identify the significant factors affecting the surface roughness and S/N ratio was used to find the optimal cutting combination of the parameters. It was concluded that tool with a high positive rake angle and smaller insert nose radius produced lower surface roughness value in an internal turning operation. It was also concluded that high feedrate and low cutting speed has produced the lowest surface roughness.

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Abbreviations

Ra,n :

Surface roughness with new insert

Ra,u :

Surface roughness with slightly used insert

ηn :

Signal to Noise ratio of Ra,n

References

  1. Nalbant, M., Gokkaya, H. and Sur, G., “Application of Taguchi Method in the Optimization of Cutting Parameters for Surface Roughness in Turning,” International Journal of Materials and Design, Vol. 28, No. 4, pp. 1379–1385, 2007.

    Article  Google Scholar 

  2. Tsao, C. C. and Hocheng, H., “Evaluation of Thrust Force and Surface Roughness in Drilling Composite Material Using Taguchi Analysis and Neural Network,” Journal of Materials Processing Technology, Vol. 203, No. 1–3, pp. 342–348, 2008.

    Article  Google Scholar 

  3. Kalidas, S., DeVor, R. E. and Kapoor, S. G., “Experimental Investigation of the Effect of Drill Coatings on Hole Quality under Dry and Wet Drilling Conditions,” International Journal Surface and Coatings Technology, Vol. 148, No. 2–3, pp. 117–128, 2001.

    Article  Google Scholar 

  4. Gologlu, C. and Nazim, S., “The Effects of Cutter Path Strategies on Surface Roughness of Pocket Milling of 1.2738 Steel Based on Taguchi Method,” Journal of Materials Processing Technology, Vol. 206, No. 1–3, pp. 7–15, 2008.

    Article  Google Scholar 

  5. Atabey, F., Lazoglu, I. and Altintas, Y., “Mechanics of Boring Processes-Part I,” International Journal of Machine Tools & Manufacture, Vol. 43, No. 5, pp. 463–476, 2003.

    Article  Google Scholar 

  6. Lazoglu, I., Atabey, F. and Altintas, Y., “Dynamics of Boring Processes: Part III-Time Domain Modeling,” International Journal of Machine Tools & Manufacture, Vol. 42, No. 14, pp. 1567–1576, 2002.

    Article  Google Scholar 

  7. Yussefian, N. Z., Moetakef-Imani, B. and El-Mounayri, H., “The Prediction of Cutting Force for Boring Process,” International Journal of Machine Tools & Manufacture, Vol. 48, No. 12–13, pp. 1387–1394, 2008.

    Article  Google Scholar 

  8. Moetakef-Imani, B. and Yussefian, N. Z., “Dynamic Simulation of Boring Process,” International Journal of Machine Tools & Manufacture, Vol. 49, No. 14, pp. 1096–1103, 2009.

    Article  Google Scholar 

  9. Atabey, F., Lazoglu, I. and Altintas, Y., “Mechanics of Boring Processes-Part II-Multi-Insert Boring heads,” International Journal of Machine Tools & Manufacture, Vol. 43, No. 5, pp. 477–484, 2003.

    Article  Google Scholar 

  10. Budak, E. and Ozlu, E., “Analytical Modeling of Chatter Stability in Turning and Boring Operations: A Multidimensional Approach,” CIRP Annals - Manufacturing Tech., Vol. 56, No. 1, pp. 401–404, 2007.

    Article  Google Scholar 

  11. Ozlu, E. and Budak, E., “Analytical Modeling of Chatter Stability in Turning and Boring Operations-Part II: Experimental Verification,” International Journal of Manufacturing Science and Engineering, Vol. 129, No. 4, pp. 733–739, 2007.

    Article  Google Scholar 

  12. Senbabaoglu, F., Lazoglu, I. and Ozkeser, S. O., “Experimental Analysis of Boring Process on Automotive Engine Cylinders,” International Journal of Advance Manufacturing and Technology, Vol. 48, No. 1–4, pp. 11–21, 2009.

    Google Scholar 

  13. Gunay, M., Korkuta, I., Aslan, E. and Seker, U., “Experimental Investigation of the Effect of Cutting Tool Rake Angle on Main Cutting Force,” Journal of Materials Processing Technology, Vol. 166, No. 1, pp. 44–49, 2005.

    Article  Google Scholar 

  14. Beauchamp, Y., Thomas, M., Youssef, Y. A. and Masounave, J., “Investigation of Cutting Parameter Effects on Surface Roughness in Lathe Boring Operation by Use of a Full Factorial Design,” International Journal of Computers Industrial Engineering, Vol. 31, No. 3–4, pp. 645–651, 1996.

    Article  Google Scholar 

  15. Yildiz, Y., Gunny, M. and Saker, U., “The Effect of the Cutting Fluid on Surface Roughness in Boring of Low Carbon Steel-Technical Communication,” Machining Science and Tech., Vol. 11, No. 4, pp. 553–560, 2007.

    Article  Google Scholar 

  16. Huang, Y. and Liang, S. Y., “Cutting Forces Modeling Considering the Effect of Tool Thermal Property-application to CBN Hard Turning,” International Journal of Machine Tool and Manufacture, Vol. 43, No. 3, pp. 307–315, 2003.

    Article  Google Scholar 

  17. Zhang, J. Z., Chen, J. C. and Kirby, E. D., “Surface Roughness Optimization in an End-milling Operation Using the Taguchi Design Method,” Journal of Materials Processing Technology, Vol. 184, No. 1–3, pp. 233–239, 2007.

    Article  Google Scholar 

  18. Thamizhmanii, S., Saparudin, S. and Hasan, S., “Analyses of Surface Roughness by Turning Process Using Taguchi Method,” Journal of Achievements in Materials and Manufacturing Engineering, Vol. 20,Issues 1–2, pp. 503–506, 2007.

    Google Scholar 

  19. Uthayakumar, M., Prabhakaran, G., Sivanandham, A. and Sivaprasad, V. J., “Precision Machining of an Aluminum Alloy Piston Reinforced with a Cast Iron Insert,” Int. J. Precis. Eng. Manuf., Vol. 10, No. 1, pp. 7–13, 2009.

    Article  Google Scholar 

  20. Peace, G. S., “Taguchi Methods, A Hands-on Approach,” Addision-Wesley, 1992.

  21. Taguchi, G., ElSayed, A. M. and Hsiang, T. C., “Quality Engineering in Production Systems,” McGraw-Hill, 1989.

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Correspondence to Muhammad Munawar.

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Munawar, M., Chen, J.CS. & Mufti, N.A. Investigation of cutting parameters effect for minimization of sur face roughness in internal turning. Int. J. Precis. Eng. Manuf. 12, 121–127 (2011). https://doi.org/10.1007/s12541-011-0015-x

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  • DOI: https://doi.org/10.1007/s12541-011-0015-x

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